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Measures of Dispersion Test - 38

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Measures of Dispersion Test - 38
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  • Question 1
    1 / -0
    Given $$\sum (x-\bar{x})^2=48, \bar{x}=20$$ and $$n=12$$. The coefficient of variation is.
    Solution

  • Question 2
    1 / -0
    The sum of the squares of deviations of 10 items about mean 50 is 250 .The coefficient of variation is 
    Solution

    $$\textbf{Step -1: Find the standard deviation.}$$
                    $$\text{It is given, }$$
                    $$\text{Mean, }\overline{x}=50,$$
                    $$n=10\text{ and }$$
                    $$\sum(x-\overline{x})^2=250$$
                    $$\therefore\text{Standard deviation}=\sqrt{\dfrac{\sum(x-\overline{x})^2}{n}}$$
                    $$=\sqrt{\dfrac{250}{10}}$$
                    $$=5$$
    $$\textbf{Step -2: Find the coefficient of variance.}$$
                    $$\text{Coefficient of variation}=\dfrac{\text{Standard deviation}}{\text{Mean}}\times100\%.$$
                    $$=\dfrac{5}{50}\times100\%$$
                    $$=10\%$$
    $$\textbf{Hence, option A is correct.}$$
  • Question 3
    1 / -0
    The probability distribution of a random variable $$X$$ is given below:
    $$X=x$$0123
    $$P(X=x)$$$$\frac{1}{10}$$$$\frac{2}{10}$$$$\frac{3}{10}$$$$\frac{4}{10}$$
    Then the variance of $$X$$ is
    Solution
    $$E[x^2]=0+1^2\cdot \displaystyle \frac{2}{10}+2^2\cdot \frac{3}{10}+3^2\cdot \frac{4}{10}=\frac{[2+12+36]}{10}=5.0$$
    $$E[x]=0+\displaystyle \frac{2}{10}+2\cdot \frac{3}{10}+3\cdot \frac{4}{10}=\frac{[2+6+12]}{10}=2$$
    $$\therefore$$ Var (x) $$= E[x^2] - E[x]^2 = 5-2^2=1$$
  • Question 4
    1 / -0
    Which of the following are limitations of range?
  • Question 5
    1 / -0
    Which one of the following is not a measure of dispersion?
  • Question 6
    1 / -0
    The formula of students t-distribution is_____________.
    Solution
    The correct formula for calculating students t-distribution is given in option C, where s is the standard deviation of the sample and n is the sample size. The t distribution is used to estimate population parameters when the sample size is small. 
  • Question 7
    1 / -0
    While constructing Lorenz Curve we take into account _________.
  • Question 8
    1 / -0
    Which of the following is true?
  • Question 9
    1 / -0
    Coefficient of Quartile Deviation =
  • Question 10
    1 / -0
    Lorenz curve is based on which of the following? 
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